SKILL

Clean Database

Normalize, deduplicate, and validate enriched datasets to maintain accuracy and compliance.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Clean Database Command

Purpose

Run data quality workflows (formatting, deduplication, validation, suppression) before syncing enriched records into downstream systems.

Syntax

/data-enrichment:clean-database \
  --input enriched.csv \
  --rules rules.yaml \
  --output clean.csv \
  --gdpr true

Parameters

  • --input: Source CSV/JSON/Parquet file.
  • --rules: YAML/JSON config defining normalization rules, required fields, dedupe logic.
  • --output: File path or system destination (Salesforce, HubSpot, Snowflake).
  • --gdpr: Apply regional compliance filters (default true).
  • --suppress-list: Path to opt-out or customer suppression list.
  • --format: Output format (csv, json, parquet, api-sync).

Features

  • Email/phone format correction, country normalization, timezone calculation.
  • Deduping via fuzzy matching and configurable keys.
  • Confidence scoring and rejection report for records failing validation.
  • Audit log of transformations for compliance.

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